There loads of practical real world applications for machine learning, but it’s not what the big corpos tend to push because the usefulness is generally more niche. They want to sell you universal solutions to problems that don’t exist.
In all fairness, Apple using AI to transcribe podcasts has been a tremendous success. Like, making four or five mistakes across an hour of casual speech. And those mistakes are usually contextual blind spots (like writing “lift” when someone said “Lyft” the company.)
Hopefully not “powered by AI”
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Fair enough. And yes, lots of hate here! But if AI is actually a solution for a real world problem, i can make an exception!
There loads of practical real world applications for machine learning, but it’s not what the big corpos tend to push because the usefulness is generally more niche. They want to sell you universal solutions to problems that don’t exist.
Don’t worry Apple is just paying a team of Indian linguists to listen to all your conversations and translate them in real time.
In all fairness, Apple using AI to transcribe podcasts has been a tremendous success. Like, making four or five mistakes across an hour of casual speech. And those mistakes are usually contextual blind spots (like writing “lift” when someone said “Lyft” the company.)